robomotion GmbH manufactures customized automation solutions including assembly, testing, handling systems, robotic cells, and process-integrated special-purpose machines for automotive and general manufacturing industries.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
On August 19, ZERO ZERO ROBOTICS announced the HOVERAir VERSA, a versatile gimbal camera that can also function as an aerial drone. The product is set for early sales in Japan starting mid-September, with further details to be disclosed later. The HOVERAir VERSA features a 2-in-1 design, allowing users to switch between handheld shooting and drone operation. It is equipped with a 3-axis mechanical gimbal for stable handheld photography and can transform into a small drone for autonomous flight when the included 'Flight Wing' is attached. The camera supports 4K recording at 60fps and includes AI capabilities for subject tracking and auto-framing. As the demand for versatile imaging solutions grows, the HOVERAir VERSA is positioned to attract both amateur and professional photographers. No further timeline was disclosed at the time of publication.
AVITA Inc. has announced the launch of 'AVITA OS', a software platform designed to integrate AI and control technologies for avatars and robots to work harmoniously and safely with humans. This announcement was made on August 19, 2026. The significance of AVITA OS lies in its ability to support the social implementation of robots, expanding from previous applications in customer service and training using CG avatars. The platform aims to enhance the intelligence and physical control of robots, ensuring they can operate safely in real-world environments like stores and factories. Looking ahead, AVITA plans to continue developing AVITA OS and its functionalities, focusing on deploying it across various robots, including humanoids. The company is also collaborating with robotics firms such as Unitree and Booster Robotics to further this initiative. No further timeline was disclosed at the time of publication.
Xiaomi's CEO, Lei Jun, announced that the company's next-generation self-developed chip is approaching its release. However, specific details such as the launch date, product name, and technical specifications were not disclosed during the announcement. This information was shared in a post that also reviewed Xiaomi's second-quarter performance. The significance of this announcement lies in Xiaomi's increased investment in research and development, which rose by 18.9% year over year to RMB9.2 billion in the last quarter. This commitment to innovation indicates Xiaomi's strategy to enhance its technological capabilities and maintain competitiveness in the market. The anticipation surrounding the new chip reflects the company's focus on advancing its product offerings. Looking ahead, it remains unclear which device will be the first to incorporate this new chip, as Xiaomi has not provided any information on this aspect. No further timeline was disclosed at the time of publication.
News FeedThe 2026 World Robot Conference commenced on August 19 in Beijing, themed 'Human-Machine Symbiosis, Integrated Production and Demand'. The five-day event features a main forum, an expo, and over 70 concurrent activities, supported by 30 international organizations. With over 300 participating companies, the expo has seen a 69% increase from last year, showcasing more than 3,000 exhibits, including over 150 new product launches. This year's conference spans approximately 50,000 square meters, divided into four exhibition halls focusing on different segments of the robotics industry. The 'Intelligent Creation' hall, a new addition, highlights humanoid robots and features leading companies such as Yushu Technology and UBTECH. The 'Intelligent Cooperation' hall emphasizes international collaboration, while the 'Intelligent Manufacturing' hall displays industrial and service robots. A new 'Robot Consumption Street' offers an immersive experience combining technology, food, and cultural creativity. The conference marks a shift from being a 'showcase platform' to a 'transaction platform', with a dedicated 'Procurement Day' for industry matchmaking. The event also launched a 'Global Robot Application Exploration Program' to connect mass-produced products with global innovation teams. The focus is shifting from mere capabilities to long-term, stable, and cost-effective solutions in various sectors, including manufacturing and healthcare.
Robotics Industrial Automation AI Exhibitions TechnologyNVIDIA and LG Electronics have set a new benchmark in robot training data, aiming for 100,000 hours by year-end. This initiative was announced during a visit by NVIDIA's Senior Director of Omniverse and Robotics Marketing, Min-San Huang, to LG's Yangjae R&D Center in Seoul, following a strategic partnership agreement signed just days earlier. This ambitious target is significant as it surpasses the training data of other companies, such as Ant Group's LingBot-VLA 2.0 model, which has 60,000 hours. The training data will be sourced from a mix of real and synthetic data, leveraging decades of LG's operational data in manufacturing and logistics, enhanced through NVIDIA's Omniverse and Isaac robotics development platform. Looking ahead, LG plans to deploy hundreds of CLOiD robots at the Yangjae data factory, which features various training environments. The company aims to launch a next-generation bipedal robot based on NVIDIA's Isaac GR00T model by Q1 2027. No further timeline was disclosed at the time of publication.
Robot Training AI Robotics Manufacturing Data AnalyticsOn August 14, Celanese, a U.S. specialty materials company, and VIGOR, a Hong Kong precision plastic gear manufacturer, signed a strategic cooperation agreement in Shanghai. Their goal is to address the challenge of heavy metal joints in humanoid robots by replacing them with high-performance engineering plastics, achieving a weight reduction of over 30%. This collaboration aims to enhance the endurance, speed, and load capacity of robots as they transition from laboratories to commercial applications. The partnership is crucial as heavy metal joints have been a bottleneck in robot performance, limiting endurance and response times. The materials used in joints must balance strength, rigidity, heat resistance, precision, and lightweight characteristics, especially under demanding operational conditions. Celanese will provide customized engineering plastics and technical support, while VIGOR will leverage its 40 years of experience in precision plastic gear and drive system manufacturing. This collaboration represents a significant step toward the large-scale deployment of humanoid robots, with plans to extend lightweight plastic joint solutions to industrial, commercial, and professional service robots. As humanoid robots achieve a 30% reduction in joint weight, they will be able to run faster, lift heavier loads, and operate longer, marking a pivotal advancement in the integration of AI in physical applications.
Humanoid Robots Engineering Plastics Robotics Technology Material ScienceOn August 18, the first fully automatic, no programming welding robot was delivered in Chengdu, Sichuan Province. Developed by the Chengdu Craftsman studio led by Feng Zhengle, this innovative robot is designed for the power industry, specifically for non-standard customized door panels. Traditional industrial robots require extensive reprogramming for each model change, which hampers efficiency. The new robot utilizes advanced technologies, including AI deep learning visual recognition and laser seam sensing, to overcome technical challenges in welding thin sheet metal. Its dual positioning system—AI visual initial positioning combined with laser precision positioning—enables high-precision laser welding. The operational efficiency has significantly improved, with complex door panel welding taking only six minutes and simple ones three minutes, reducing overall operation time by 20% and eliminating the need for post-welding polishing. This development marks a shift in manufacturing logic, moving from customized automation solutions to adaptable automation for various products. As the robot begins its journey in a workshop in Chengdu, it represents a significant advancement in the integration of AI into manufacturing processes, transforming the skills of frontline workers into executable algorithms.
Welding Robots Automation Technology AI in Manufacturing Flexible ProductionAt Alipay's inaugural AI ecosystem conference on August 17, Ant Group CEO Han Xinyi forecasted significant growth in super agents within the next 6-12 months. The company introduced its first comprehensive agent commerce foundation, focusing on the Abao super agent, which is integrated with five phone brands and 16 major car manufacturers. This development is crucial as it marks a significant step in agent commerce, with Alipay establishing a multi-agent cross-device interconnection protocol known as AHA (Agent Hub Access). The integration of Abao with various devices positions Alipay to capitalize on the growing demand for seamless commerce experiences across platforms. Looking ahead, the orders for Abao are expected to queue into the next year, indicating strong market interest and potential for expansion. No further timeline was disclosed at the time of publication.
Wuyi Vision has unveiled its 2030 blueprint for physical AI, highlighting the significant funding of 93.5 billion yuan in the first half of 2026 for China's embodied intelligence sector. This figure marks a fivefold increase compared to the same period last year, indicating a booming investment landscape. The importance of this development lies in the challenges faced by the industry, particularly the critical need for high-quality data. With leading companies requiring approximately 1 million hours of quality data annually but only producing about 130,000 hours, a significant gap persists. This data scarcity hampers the training of models and the successful deployment of robots in real-world scenarios. Looking ahead, the industry must address these challenges to bridge the gap between investment enthusiasm and practical application. The ability to collect and utilize data effectively will determine which companies can capitalize on the growing market for physical AI. No further timeline was disclosed at the time of publication.
Physical AI Data Collection Investment Trends Simulation TechnologyIndustrial facilities, such as manufacturing plants and automotive production lines, often operate on 400–480V three-phase power. Kollmorgen emphasizes that the challenge lies not in adopting high voltage but in effectively utilizing it without unnecessary complexity. Many machine builders mistakenly assume that high-voltage environments require complex motion systems, but not every axis needs to meet the highest specifications. The importance of this approach is underscored by the potential for increased costs and integration difficulties when over-specifying systems. Kollmorgen points out that many tasks in large industrial settings, such as positioning and material handling, do not require top-tier performance. By focusing on 'right-sizing' solutions, machine builders can enhance usability and reduce commissioning time, ultimately leading to more efficient operations. Looking ahead, the industry is shifting towards evaluating motion systems based on a broader set of criteria, including ease of integration and long-term usability. As machine builders adopt this measured approach, they will likely prioritize solutions that align with application needs while minimizing complexity. No further timeline was disclosed at the time of publication.
Batteries / Power Supplies Controllers Mechanical Motion Control News Robot ComponentsRoboBoat 2026: International student ASV autonomy competition Feb 19-24 at Nathan Benderson Park, Sarasota, FL. Design, build and race autonomous boats.
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